Triple
T11593600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nadhim Zahawi |
E274945
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Nadhim |
E913193
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Nadhim | Statement: [Nadhim Zahawi, givenName, Nadhim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nadhim Context triple: [Nadhim Zahawi, givenName, Nadhim]
-
A.
Nadim
chosen
Nadim is a masculine given name of Arabic origin commonly used in the Middle East and among Arabic-speaking communities worldwide.
-
B.
Youssef Hamid
Youssef Hamid is a notable individual recognized as a prominent bearer of the surname Hamid.
-
C.
Jamal Malik
Jamal Malik is the impoverished yet resourceful young man from Mumbai who becomes a game-show sensation in the film "Slumdog Millionaire."
-
D.
Omar Alfanno
Omar Alfanno is a Panamanian songwriter and composer renowned for crafting numerous Latin music hits across salsa and pop genres.
-
E.
Ammar Malik
Ammar Malik is an American songwriter known for co-writing major pop hits for artists like Maroon 5 and Gym Class Heroes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8946594348190935106132fd18028 |
completed | April 10, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e7146fdd8c8190a54f3290e155e900 |
completed | April 21, 2026, 6:08 a.m. |
Created at: April 8, 2026, 9:38 p.m.